Pandas Profiling Report

Dataset statistics

Number of variables	16
Number of observations	4240
Missing cells	645
Missing cells (%)	1.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	530.1 KiB
Average record size in memory	128.0 B

Variable types

Categorical	8
Numeric	8

Alerts

`cigsPerDay` is highly overall correlated with `currentSmoker`	High correlation
`sysBP` is highly overall correlated with `diaBP` and 1 other fields	High correlation
`diaBP` is highly overall correlated with `sysBP` and 1 other fields	High correlation
`glucose` is highly overall correlated with `diabetes`	High correlation
`currentSmoker` is highly overall correlated with `cigsPerDay`	High correlation
`prevalentHyp` is highly overall correlated with `sysBP` and 1 other fields	High correlation
`diabetes` is highly overall correlated with `glucose`	High correlation
`BPMeds` is highly imbalanced (80.8%)	Imbalance
`prevalentStroke` is highly imbalanced (94.8%)	Imbalance
`diabetes` is highly imbalanced (82.8%)	Imbalance
`education` has 105 (2.5%) missing values	Missing
`BPMeds` has 53 (1.2%) missing values	Missing
`totChol` has 50 (1.2%) missing values	Missing
`glucose` has 388 (9.2%) missing values	Missing
`cigsPerDay` has 2145 (50.6%) zeros	Zeros

Reproduction

Analysis started	2023-02-14 04:29:12.842246
Analysis finished	2023-02-14 04:29:24.107220
Duration	11.26 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

male
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	2420
1	1820

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2420	57.1%
1	1820	42.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2420	57.1%
1	1820	42.9%

Most occurring characters

Value	Count	Frequency (%)
0	2420	57.1%
1	1820	42.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2420	57.1%
1	1820	42.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	4240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2420	57.1%
1	1820	42.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2420	57.1%
1	1820	42.9%

age
Real number (ℝ)

Distinct	39
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.580189

Minimum	32
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	32
5-th percentile	37
Q1	42
median	49
Q3	56
95-th percentile	64
Maximum	70
Range	38
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.5729422
Coefficient of variation (CV)	0.17291064
Kurtosis	-0.98989501
Mean	49.580189
Median Absolute Deviation (MAD)	7
Skewness	0.22886703
Sum	210220
Variance	73.495338
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
40	192	4.5%
46	182	4.3%
42	180	4.2%
41	174	4.1%
48	173	4.1%
39	170	4.0%
44	166	3.9%
45	162	3.8%
43	159	3.8%
52	149	3.5%
Other values (29)	2533	59.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32	1	< 0.1%
33	5	0.1%
34	18	0.4%
35	42	1.0%
36	84	2.0%
37	92	2.2%
38	144	3.4%
39	170	4.0%
40	192	4.5%
41	174	4.1%

Value	Count	Frequency (%)
70	2	< 0.1%
69	7	0.2%
68	18	0.4%
67	45	1.1%
66	38	0.9%
65	57	1.3%
64	93	2.2%
63	110	2.6%
62	99	2.3%
61	110	2.6%

education
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	105
Missing (%)	2.5%
Memory size	33.2 KiB

1.0	1720
2.0	1253
3.0	689
4.0	473

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12405
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	2.0
3rd row	1.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	1720	40.6%
2.0	1253	29.6%
3.0	689	16.2%
4.0	473	11.2%
(Missing)	105	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	1720	41.6%
2.0	1253	30.3%
3.0	689	16.7%
4.0	473	11.4%

Most occurring characters

Value	Count	Frequency (%)
.	4135	33.3%
0	4135	33.3%
1	1720	13.9%
2	1253	10.1%
3	689	5.6%
4	473	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8270	66.7%
Other Punctuation	4135	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4135	50.0%
1	1720	20.8%
2	1253	15.2%
3	689	8.3%
4	473	5.7%

Other Punctuation

Value	Count	Frequency (%)
.	4135	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12405	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4135	33.3%
0	4135	33.3%
1	1720	13.9%
2	1253	10.1%
3	689	5.6%
4	473	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12405	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4135	33.3%
0	4135	33.3%
1	1720	13.9%
2	1253	10.1%
3	689	5.6%
4	473	3.8%

currentSmoker
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	2145
1	2095

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2145	50.6%
1	2095	49.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2145	50.6%
1	2095	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	2145	50.6%
1	2095	49.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2145	50.6%
1	2095	49.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	4240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2145	50.6%
1	2095	49.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2145	50.6%
1	2095	49.4%

cigsPerDay
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	33
Distinct (%)	0.8%
Missing	29
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	9.0059368

Minimum	0
Maximum	70
Zeros	2145
Zeros (%)	50.6%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	20
95-th percentile	30
Maximum	70
Range	70
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	11.922462
Coefficient of variation (CV)	1.3238447
Kurtosis	1.0194182
Mean	9.0059368
Median Absolute Deviation (MAD)	0
Skewness	1.2470524
Sum	37924
Variance	142.1451
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	2145	50.6%
20	734	17.3%
30	218	5.1%
15	210	5.0%
10	143	3.4%
9	130	3.1%
5	121	2.9%
3	100	2.4%
40	80	1.9%
1	67	1.6%
Other values (23)	263	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2145	50.6%
1	67	1.6%
2	18	0.4%
3	100	2.4%
4	9	0.2%
5	121	2.9%
6	18	0.4%
7	12	0.3%
8	11	0.3%
9	130	3.1%

Value	Count	Frequency (%)
70	1	< 0.1%
60	11	0.3%
50	6	0.1%
45	3	0.1%
43	56	1.3%
40	80	1.9%
38	1	< 0.1%
35	22	0.5%
30	218	5.1%
29	1	< 0.1%

BPMeds
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	53
Missing (%)	1.2%
Memory size	33.2 KiB

0.0	4063
1.0	124

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12561
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4063	95.8%
1.0	124	2.9%
(Missing)	53	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	4063	97.0%
1.0	124	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	8250	65.7%
.	4187	33.3%
1	124	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8374	66.7%
Other Punctuation	4187	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8250	98.5%
1	124	1.5%

Other Punctuation

Value	Count	Frequency (%)
.	4187	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12561	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8250	65.7%
.	4187	33.3%
1	124	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12561	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8250	65.7%
.	4187	33.3%
1	124	1.0%

prevalentStroke
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	4215
1	25

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4215	99.4%
1	25	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4215	99.4%
1	25	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	4215	99.4%
1	25	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4215	99.4%
1	25	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4215	99.4%
1	25	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4215	99.4%
1	25	0.6%

prevalentHyp
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	2923
1	1317

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2923	68.9%
1	1317	31.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2923	68.9%
1	1317	31.1%

Most occurring characters

Value	Count	Frequency (%)
0	2923	68.9%
1	1317	31.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2923	68.9%
1	1317	31.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2923	68.9%
1	1317	31.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2923	68.9%
1	1317	31.1%

diabetes
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	4131
1	109

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4131	97.4%
1	109	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4131	97.4%
1	109	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	4131	97.4%
1	109	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4131	97.4%
1	109	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4131	97.4%
1	109	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4131	97.4%
1	109	2.6%

totChol
Real number (ℝ)

Distinct	248
Distinct (%)	5.9%
Missing	50
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	236.69952

Minimum	107
Maximum	696
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	107
5-th percentile	170
Q1	206
median	234
Q3	263
95-th percentile	312
Maximum	696
Range	589
Interquartile range (IQR)	57

Descriptive statistics

Standard deviation	44.591284
Coefficient of variation (CV)	0.18838772
Kurtosis	4.1298894
Mean	236.69952
Median Absolute Deviation (MAD)	29
Skewness	0.87188056
Sum	991771
Variance	1988.3826
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
240	85	2.0%
220	70	1.7%
260	62	1.5%
210	61	1.4%
232	59	1.4%
250	57	1.3%
200	56	1.3%
225	54	1.3%
230	54	1.3%
205	53	1.2%
Other values (238)	3579	84.4%
(Missing)	50	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
107	1	< 0.1%
113	1	< 0.1%
119	1	< 0.1%
124	1	< 0.1%
126	1	< 0.1%
129	1	< 0.1%
133	1	< 0.1%
135	2	< 0.1%
137	1	< 0.1%
140	2	< 0.1%

Value	Count	Frequency (%)
696	1	< 0.1%
600	1	< 0.1%
464	1	< 0.1%
453	1	< 0.1%
439	1	< 0.1%
432	1	< 0.1%
410	3	0.1%
405	1	< 0.1%
398	1	< 0.1%
392	1	< 0.1%

sysBP
Real number (ℝ)

Distinct	234
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	132.3546

Minimum	83.5
Maximum	295
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	83.5
5-th percentile	104
Q1	117
median	128
Q3	144
95-th percentile	175
Maximum	295
Range	211.5
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	22.0333
Coefficient of variation (CV)	0.16647173
Kurtosis	2.1566236
Mean	132.3546
Median Absolute Deviation (MAD)	13
Skewness	1.145285
Sum	561183.5
Variance	485.46629
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	107	2.5%
130	102	2.4%
110	96	2.3%
115	89	2.1%
125	88	2.1%
124	84	2.0%
122	80	1.9%
126	73	1.7%
128	73	1.7%
123	72	1.7%
Other values (224)	3376	79.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
83.5	2	< 0.1%
85	1	< 0.1%
85.5	1	< 0.1%
90	2	< 0.1%
92	1	< 0.1%
92.5	2	< 0.1%
93	2	< 0.1%
93.5	2	< 0.1%
94	3	0.1%
95	7	0.2%

Value	Count	Frequency (%)
295	1	< 0.1%
248	1	< 0.1%
244	1	< 0.1%
243	1	< 0.1%
235	1	< 0.1%
232	1	< 0.1%
230	1	< 0.1%
220	2	< 0.1%
217	1	< 0.1%
215	3	0.1%

diaBP
Real number (ℝ)

Distinct	146
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82.897759

Minimum	48
Maximum	142.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	48
5-th percentile	66
Q1	75
median	82
Q3	90
95-th percentile	104.525
Maximum	142.5
Range	94.5
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.910394
Coefficient of variation (CV)	0.14367571
Kurtosis	1.2753143
Mean	82.897759
Median Absolute Deviation (MAD)	7.5
Skewness	0.71325021
Sum	351486.5
Variance	141.8575
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	262	6.2%
82	152	3.6%
85	137	3.2%
70	135	3.2%
81	131	3.1%
84	122	2.9%
90	119	2.8%
78	116	2.7%
87	113	2.7%
86	108	2.5%
Other values (136)	2845	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48	1	< 0.1%
50	1	< 0.1%
51	1	< 0.1%
52	2	< 0.1%
53	1	< 0.1%
54	1	< 0.1%
55	3	0.1%
56	2	< 0.1%
57	6	0.1%
57.5	3	0.1%

Value	Count	Frequency (%)
142.5	1	< 0.1%
140	1	< 0.1%
136	2	< 0.1%
135	2	< 0.1%
133	2	< 0.1%
132	1	< 0.1%
130	5	0.1%
129	1	< 0.1%
128	1	< 0.1%
127.5	1	< 0.1%

BMI
Real number (ℝ)

Distinct	1364
Distinct (%)	32.3%
Missing	19
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	25.800801

Minimum	15.54
Maximum	56.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	15.54
5-th percentile	20.06
Q1	23.07
median	25.4
Q3	28.04
95-th percentile	32.78
Maximum	56.8
Range	41.26
Interquartile range (IQR)	4.97

Descriptive statistics

Standard deviation	4.0798402
Coefficient of variation (CV)	0.15812843
Kurtosis	2.6573096
Mean	25.800801
Median Absolute Deviation (MAD)	2.49
Skewness	0.9821833
Sum	108905.18
Variance	16.645096
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22.91	18	0.4%
22.54	18	0.4%
23.48	18	0.4%
22.19	18	0.4%
23.09	16	0.4%
25.09	16	0.4%
23.1	13	0.3%
22.73	13	0.3%
25.23	13	0.3%
27.78	12	0.3%
Other values (1354)	4066	95.9%
(Missing)	19	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.54	1	< 0.1%
15.96	1	< 0.1%
16.48	1	< 0.1%
16.59	2	< 0.1%
16.61	1	< 0.1%
16.69	1	< 0.1%
16.71	1	< 0.1%
16.73	1	< 0.1%
16.75	1	< 0.1%
16.87	1	< 0.1%

Value	Count	Frequency (%)
56.8	1	< 0.1%
51.28	1	< 0.1%
45.8	1	< 0.1%
45.79	1	< 0.1%
44.71	1	< 0.1%
44.55	1	< 0.1%
44.27	1	< 0.1%
44.09	1	< 0.1%
43.69	1	< 0.1%
43.67	1	< 0.1%

heartRate
Real number (ℝ)

Distinct	73
Distinct (%)	1.7%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	75.878981

Minimum	44
Maximum	143
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	44
5-th percentile	60
Q1	68
median	75
Q3	83
95-th percentile	98
Maximum	143
Range	99
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.025348
Coefficient of variation (CV)	0.15848062
Kurtosis	0.90739572
Mean	75.878981
Median Absolute Deviation (MAD)	7
Skewness	0.64437182
Sum	321651
Variance	144.60899
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	563	13.3%
80	385	9.1%
70	305	7.2%
60	231	5.4%
85	228	5.4%
72	222	5.2%
65	197	4.6%
90	172	4.1%
68	151	3.6%
100	98	2.3%
Other values (63)	1687	39.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
44	1	< 0.1%
45	2	< 0.1%
46	1	< 0.1%
47	1	< 0.1%
48	5	0.1%
50	22	0.5%
51	1	< 0.1%
52	17	0.4%
53	11	0.3%
54	12	0.3%

Value	Count	Frequency (%)
143	1	< 0.1%
140	1	< 0.1%
130	1	< 0.1%
125	3	0.1%
122	2	< 0.1%
120	7	0.2%
115	5	0.1%
112	3	0.1%
110	36	0.8%
108	8	0.2%

glucose
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	143
Distinct (%)	3.7%
Missing	388
Missing (%)	9.2%
Infinite	0
Infinite (%)	0.0%
Mean	81.963655

Minimum	40
Maximum	394
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	40
5-th percentile	62
Q1	71
median	78
Q3	87
95-th percentile	108.45
Maximum	394
Range	354
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	23.954335
Coefficient of variation (CV)	0.29225557
Kurtosis	58.703741
Mean	81.963655
Median Absolute Deviation (MAD)	8
Skewness	6.2149483
Sum	315724
Variance	573.81016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	193	4.6%
77	167	3.9%
73	156	3.7%
80	153	3.6%
70	152	3.6%
83	151	3.6%
78	148	3.5%
74	141	3.3%
85	127	3.0%
76	127	3.0%
Other values (133)	2337	55.1%
(Missing)	388	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	2	< 0.1%
43	1	< 0.1%
44	2	< 0.1%
45	4	0.1%
47	3	0.1%
48	1	< 0.1%
50	3	0.1%
52	2	< 0.1%
53	5	0.1%
54	5	0.1%

Value	Count	Frequency (%)
394	2	< 0.1%
386	1	< 0.1%
370	1	< 0.1%
368	1	< 0.1%
348	1	< 0.1%
332	1	< 0.1%
325	1	< 0.1%
320	1	< 0.1%
297	1	< 0.1%
294	1	< 0.1%

target
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	3596
1	644

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3596	84.8%
1	644	15.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3596	84.8%
1	644	15.2%

Most occurring characters

Value	Count	Frequency (%)
0	3596	84.8%
1	644	15.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4240	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3596	84.8%
1	644	15.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	4240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3596	84.8%
1	644	15.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3596	84.8%
1	644	15.2%

Auto

Heatmap
Table

	age	cigsPerDay	totChol	sysBP	diaBP	BMI	heartRate	glucose	male	education	currentSmoker	BPMeds	prevalentStroke	prevalentHyp	diabetes	target
age	1.000	-0.215	0.289	0.391	0.208	0.145	-0.015	0.116	0.007	0.145	0.226	0.132	0.064	0.301	0.098	0.221
cigsPerDay	-0.215	1.000	-0.041	-0.111	-0.089	-0.141	0.079	-0.090	0.325	0.042	0.846	0.023	0.000	0.104	0.000	0.058
totChol	0.289	-0.041	1.000	0.224	0.185	0.148	0.089	0.030	0.083	0.022	0.039	0.069	0.000	0.159	0.090	0.077
sysBP	0.391	-0.111	0.224	1.000	0.778	0.324	0.171	0.117	0.105	0.072	0.123	0.283	0.057	0.709	0.128	0.210
diaBP	0.208	-0.089	0.185	0.778	1.000	0.375	0.179	0.047	0.069	0.046	0.110	0.215	0.040	0.638	0.050	0.156
BMI	0.145	-0.141	0.148	0.324	0.375	1.000	0.056	0.071	0.208	0.084	0.156	0.136	0.209	0.293	0.103	0.087
heartRate	-0.015	0.079	0.089	0.171	0.179	0.056	1.000	0.097	0.115	0.043	0.074	0.069	0.000	0.140	0.046	0.000
glucose	0.116	-0.090	0.030	0.117	0.047	0.071	0.097	1.000	0.000	0.032	0.082	0.085	0.031	0.087	0.718	0.123
male	0.007	0.325	0.083	0.105	0.069	0.208	0.115	0.000	1.000	0.143	0.196	0.049	0.000	0.000	0.000	0.086
education	0.145	0.042	0.022	0.072	0.046	0.084	0.043	0.032	0.143	1.000	0.061	0.000	0.024	0.089	0.042	0.084
currentSmoker	0.226	0.846	0.039	0.123	0.110	0.156	0.074	0.082	0.196	0.061	1.000	0.045	0.026	0.102	0.040	0.011
BPMeds	0.132	0.023	0.069	0.283	0.215	0.136	0.069	0.085	0.049	0.000	0.045	1.000	0.107	0.259	0.045	0.084
prevalentStroke	0.064	0.000	0.000	0.057	0.040	0.209	0.000	0.031	0.000	0.024	0.026	0.107	1.000	0.070	0.000	0.055
prevalentHyp	0.301	0.104	0.159	0.709	0.638	0.293	0.140	0.087	0.000	0.089	0.102	0.259	0.070	1.000	0.075	0.176
diabetes	0.098	0.000	0.090	0.128	0.050	0.103	0.046	0.718	0.000	0.042	0.040	0.045	0.000	0.075	1.000	0.094
target	0.221	0.058	0.077	0.210	0.156	0.087	0.000	0.123	0.086	0.084	0.011	0.084	0.055	0.176	0.094	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	male	age	education	currentSmoker	cigsPerDay	prevalentHyp	totChol	sysBP	diaBP	BMI	heartRate	glucose	target
0	1	39	4.0	0	0.0	0	195.0	106.0	70.0	26.97	80.0	77.0	0
1	0	46	2.0	0	0.0	0	250.0	121.0	81.0	28.73	95.0	76.0	0
2	1	48	1.0	1	20.0	0	245.0	127.5	80.0	25.34	75.0	70.0	0
3	0	61	3.0	1	30.0	1	225.0	150.0	95.0	28.58	65.0	103.0	1
4	0	46	3.0	1	23.0	0	285.0	130.0	84.0	23.10	85.0	85.0	0
5	0	43	2.0	0	0.0	1	228.0	180.0	110.0	30.30	77.0	99.0	0
6	0	63	1.0	0	0.0	0	205.0	138.0	71.0	33.11	60.0	85.0	1
7	0	45	2.0	1	20.0	0	313.0	100.0	71.0	21.68	79.0	78.0	0
8	1	52	1.0	0	0.0	1	260.0	141.5	89.0	26.36	76.0	79.0	0
9	1	43	1.0	1	30.0	1	225.0	162.0	107.0	23.61	93.0	88.0	0

	male	age	education	currentSmoker	cigsPerDay	BPMeds	prevalentHyp	totChol	sysBP	diaBP	BMI	heartRate	glucose	target
4230	0	56	1.0	1	3.0	0.0	1	268.0	170.0	102.0	22.89	57.0	NaN	0
4231	1	58	3.0	0	0.0	0.0	1	187.0	141.0	81.0	24.96	80.0	81.0	0
4232	1	68	1.0	0	0.0	0.0	1	176.0	168.0	97.0	23.14	60.0	79.0	1
4233	1	50	1.0	1	1.0	0.0	1	313.0	179.0	92.0	25.97	66.0	86.0	1
4234	1	51	3.0	1	43.0	0.0	0	207.0	126.5	80.0	19.71	65.0	68.0	0
4235	0	48	2.0	1	20.0	NaN	0	248.0	131.0	72.0	22.00	84.0	86.0	0
4236	0	44	1.0	1	15.0	0.0	0	210.0	126.5	87.0	19.16	86.0	NaN	0
4237	0	52	2.0	0	0.0	0.0	0	269.0	133.5	83.0	21.47	80.0	107.0	0
4238	1	40	3.0	0	0.0	0.0	1	185.0	141.0	98.0	25.60	67.0	72.0	0
4239	0	39	3.0	1	30.0	0.0	0	196.0	133.0	86.0	20.91	85.0	80.0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks